Triple
T20896280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democratic Republic of Afghanistan |
E514544
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | DRA |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DRA | Statement: [Democratic Republic of Afghanistan, shortName, DRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DRA Context triple: [Democratic Republic of Afghanistan, shortName, DRA]
-
A.
DRA
chosen
DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
-
B.
DRA 2005
DRA 2005 is a U.S. federal law aimed at reducing the federal budget deficit primarily through changes to entitlement programs like Medicare and Medicaid.
-
C.
DAR
DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
-
D.
DAR
DAR is the IATA airport code for Julius Nyerere International Airport, the main international gateway to Dar es Salaam, Tanzania.
-
E.
DAR
DAR is the abbreviated name for the Division of Aquatic Resources, a government body responsible for managing and conserving aquatic ecosystems and resources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d06233588190942493b709e30820 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:47 p.m.